Impact of Trucking Network Flow on Preferred Biorefinery Locations in the Southern United States [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  621.48  Thêm vào giỏ

Bayesian Parameter Estimation for Heavy-Duty Vehicles [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  629.28  Thêm vào giỏ

A Nonparametric Bayesian Framework for Short-Term Wind Power Probabilistic Forecast [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  621.531  Thêm vào giỏ

Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies [electronic resource] : Preprint
	Tác giả:
	Xuất bản: Golden Colo Oak Ridge Tenn: National Renewable Energy Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2013
	Bộ sưu tập: Metadata
	ddc:  621.312  Thêm vào giỏ

Calibration of hyperelastic constitutive models [electronic resource] : the role of boundary conditions, search algorith...
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2020
	Bộ sưu tập: Metadata
	ddc:  630.28  Thêm vào giỏ

Forecasting seasonal influenza with a state-space SIR model [electronic resource]
	Tác giả:
	Xuất bản: Los Alamos NM Oak Ridge Tenn: Los Alamos National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  570  Thêm vào giỏ

Quantifying model-structure- and parameter-driven uncertainties in spring wheat phenology prediction with Bayesian analysis [electronic resource]
	Tác giả:
	Xuất bản: Richland Wash Oak Ridge Tenn: Pacific Northwest National Laboratory US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
	Bộ sưu tập: Metadata
	ddc:  631.5  Thêm vào giỏ

Understanding the Impacts of Biomass Blending on the Uncertainty of Hydrolyzed Sugar Yield from a Stochastic Perspective...
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
	Bộ sưu tập: Metadata
	ddc:  668.5  Thêm vào giỏ

Modeling Soot Oxidation and Gasification with Bayesian Statistics [electronic resource]
	Tác giả:
	Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
	Bộ sưu tập: Metadata
	ddc:  642.6  Thêm vào giỏ

Dynamic Bayesian Influenza Forecasting in the United States with Hierarchical Discrepancy (with Discussion) [electronic resource]
	Tác giả:
	Xuất bản: Bethesda Md Oak Ridge Tenn: National Institutes of Health US Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2019
	Bộ sưu tập: Metadata
	ddc:  630.5  Thêm vào giỏ